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2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)最新文献

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Source Aware Budgeted Information Maximization 资源敏感的预算信息最大化
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/ASONAM55673.2022.10068591
Rithic Kumar N, Y. Gupta, Sanatan Sukhija
{"title":"Source Aware Budgeted Information Maximization","authors":"Rithic Kumar N, Y. Gupta, Sanatan Sukhija","doi":"10.1109/ASONAM55673.2022.10068591","DOIUrl":"https://doi.org/10.1109/ASONAM55673.2022.10068591","url":null,"abstract":"The paper proposes a more general framework for budgeted influence maximization. We propose a novel cost function that considers the potential seed nodes' properties and the firm interested in maximizing the influence. A greedy algorithm, maximizing the influence to cost ratio, is then used to select a balanced set of seed nodes. We also show that the edge weights play an important role in determining the influential power of nodes. Further, the edge weights for a network can be efficiently predicted with the help of link prediction heuristics like resource allocation metrics and the Adamic-Adar index.","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117354192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
HI-BI-BI 2022 Organizing Committee HI-BI-BI 2022组委会
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/asonam.2014.6921538
Shangce Gao, J. Akaichi, Jijun Tang, Jianxin Wang, Lusheng Wang, Shuliang Wang, O. Maruyama, Jin Huang, Fahad Saeed, W. M. Univ, Doina Caragea, G. Leonardi, Huiyu Zhou, G. Tsihrintzis
{"title":"HI-BI-BI 2022 Organizing Committee","authors":"Shangce Gao, J. Akaichi, Jijun Tang, Jianxin Wang, Lusheng Wang, Shuliang Wang, O. Maruyama, Jin Huang, Fahad Saeed, W. M. Univ, Doina Caragea, G. Leonardi, Huiyu Zhou, G. Tsihrintzis","doi":"10.1109/asonam.2014.6921538","DOIUrl":"https://doi.org/10.1109/asonam.2014.6921538","url":null,"abstract":"","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121367141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identifying Important Features for Clinical Diagnosis of Thyroid Disorder 确定甲状腺疾病临床诊断的重要特征
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/ASONAM55673.2022.10068712
Sowmya Balasubramanian, Venkatesh Srinivasan, Alex Thomo
{"title":"Identifying Important Features for Clinical Diagnosis of Thyroid Disorder","authors":"Sowmya Balasubramanian, Venkatesh Srinivasan, Alex Thomo","doi":"10.1109/ASONAM55673.2022.10068712","DOIUrl":"https://doi.org/10.1109/ASONAM55673.2022.10068712","url":null,"abstract":"Abnormal production of thyroid hormones in our body causes thyroid disorders such as hypothyroidism, hyper-thyroidism, Hashimoto's disease, Graves' disease, and thyroid nodules. Undiagnosed thyroid disorders can affect the quality of life of an individual both physically and mentally. Thyroid disorders are common but sometimes become difficult to diagnose since the symptoms can be easily associated with other health conditions. Clinicians identify thyroid disorders by measuring the levels of thyroid hormones in our blood stream. This work aims to help clinicians by carefully investigating if thyroid diagnosis improves when all important features (a complete thyroid panel) is measured as opposed to a select few. Much of previous work has focused on the performance of classifiers, supervised and unsupervised, for the prediction of this disorder. Departing from this tradition, we focus on the concept of feature importance and its clinical implications. We identify the top-4 important features that predict the presence of thyroid disorder and show that these can be measured by clinicians cost-effectively. We also identify the pitfalls of current clinical practice of not checking the entire thyroid panel, prevalent in many countries with universal health care. Finally, we show that our results are quite robust and are unlikely to change with the choice of classifier or due to the inherent nature of a dataset in hand like imbalance.","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128863385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
MOGPlay: A Decentralized Crowd Journalism Application for Democratic News Production MOGPlay:一个分散的大众新闻应用程序，用于民主新闻生产
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/ASONAM55673.2022.10068697
Inês Rito Lima, Cláudia Marinho, Vasco Filipe, Alexandre Ulisses, Nishant Saurabh, Antorweep Chakravorty, Zhiming Zhao, A. Hristov, R.-C. Prodan
{"title":"MOGPlay: A Decentralized Crowd Journalism Application for Democratic News Production","authors":"Inês Rito Lima, Cláudia Marinho, Vasco Filipe, Alexandre Ulisses, Nishant Saurabh, Antorweep Chakravorty, Zhiming Zhao, A. Hristov, R.-C. Prodan","doi":"10.1109/ASONAM55673.2022.10068697","DOIUrl":"https://doi.org/10.1109/ASONAM55673.2022.10068697","url":null,"abstract":"Media production and consumption behaviors are changing in response to new technologies and demands, giving birth to a new generation of social applications. Among them, crowd journalism represents a novel way of constructing democratic and trustworthy news relying on ordinary citizens arriving at breaking news locations and capturing relevant videos using their smartphones. The ARTICONF project [1] proposes a trustworthy, resilient, and globally sustainable toolset for developing decentralized applications (DApps). Leveraging the ARTICONF tools, we introduce a new DApp for crowd journalism called MOGPlay. MOGPlay collects and manages audio-visual content generated by citizens and provides a secure blockchain platform that rewards all stakeholders involved in professional news production. Besides live streaming, MOGPlay offers a marketplace for audio-visual content trading among citizens and free journalists with an internal token ecosystem. We discuss the functionality and implementation of the MOGPlay DApp and illustrate three pilot crowd journalism live scenarios that validate the prototype.","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114221567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TSPA: Efficient Target-Stance Detection on Twitter TSPA: Twitter上的高效目标姿态检测
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/ASONAM55673.2022.10068608
Evan M. Williams, K. Carley
{"title":"TSPA: Efficient Target-Stance Detection on Twitter","authors":"Evan M. Williams, K. Carley","doi":"10.1109/ASONAM55673.2022.10068608","DOIUrl":"https://doi.org/10.1109/ASONAM55673.2022.10068608","url":null,"abstract":"Target-stance detection on large-scale datasets is a core component of many of the most common stance detection applications. However, despite progress in recent years, stance detection research primarily occurs at the document-level on small-scale data. We propose a highly efficient Twitter Stance Propagation Algorithm (TSPA) for detecting user-level stance on Twitter that leverages the social networks of Twitter users and runs in near-linear time. We find TSPA achieves SoTA accuracy against BERT, homogenous Graph Attention Networks (GAT), and heterogenous GAT baselines. Additionally, TSPA's wall-clock time was 10x faster than our best baseline on a GPU and over 100x faster than our best baseline on a CPU.","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132800149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An Empirical Study of Automatic Social Media Content Labeling and Classification based on BERT Neural Network 基于BERT神经网络的社交媒体内容自动标注与分类实证研究
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/ASONAM55673.2022.10068630
I. Ting, Chia-Sung Yen, Chia-Chun Kang, Shuang Yang
{"title":"An Empirical Study of Automatic Social Media Content Labeling and Classification based on BERT Neural Network","authors":"I. Ting, Chia-Sung Yen, Chia-Chun Kang, Shuang Yang","doi":"10.1109/ASONAM55673.2022.10068630","DOIUrl":"https://doi.org/10.1109/ASONAM55673.2022.10068630","url":null,"abstract":"Web flow now is a very important success factor for social media marketing and thus more and more approaches for creating high web flow have been proposed in recent years. Automatic content generation (ACG) website is one of the possible approaches which can help to create web flow. In order to achieve the idea of automatic content generation website, web article classification has been considered the most important task. Therefore, we have development an empirical study to test the content labeling and article classification performance, which is based on the technique of BERT neural network. The performance evaluation including accuracy performance and time performance that are important for us to understand the possibility for implementing the ACG website in real environment, especially the possibility when dealing with large amount of data.","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"385 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133168001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Diachronic Analysis of Users' Stances on COVID-19 Vaccination in Japan using Twitter 日本推特用户对COVID-19疫苗接种立场的历时分析
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/ASONAM55673.2022.10068695
Shohei Hisamitsu, Sho Cho, Hongshan Jin, Masashi Toyoda, Naoki Yoshinaga
{"title":"Diachronic Analysis of Users' Stances on COVID-19 Vaccination in Japan using Twitter","authors":"Shohei Hisamitsu, Sho Cho, Hongshan Jin, Masashi Toyoda, Naoki Yoshinaga","doi":"10.1109/ASONAM55673.2022.10068695","DOIUrl":"https://doi.org/10.1109/ASONAM55673.2022.10068695","url":null,"abstract":"To prevent and curb viral outbreaks, such as COVID-19, it is important to increase vaccination coverage while resolving vaccine hesitancy and refusal. To understand why COVID-19 vaccination coverage had rapidly increased in Japan, we analyzed Twitter posts (tweets) to track the evolution of people's stance on vaccination and clarify the factors of why people decide to vaccinate. We collected all Japanese tweets related to vaccines over a five-month period and classified the vaccination stances of users who posted those tweets by using a deep neural network we designed. Examining diachronic changes in the users' stances on this large-scale vaccine dataset, we found that a certain number of neutral users changed to a pro-vaccine stance while very few changed to an anti-vaccine stance in Japan. Investigation of their information-sharing behaviors revealed what types of users and external sites were referred to when they changed their stances. These findings will help increase coverage of booster doses and future vaccinations.","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131651489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Comparative Study of China's Foreign Ministry Spokesperson's Use of Weibo and Twitter 中国外交部发言人使用微博和推特的比较研究
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/ASONAM55673.2022.10068669
Zhuo Cheng, Samira Shaikh
{"title":"A Comparative Study of China's Foreign Ministry Spokesperson's Use of Weibo and Twitter","authors":"Zhuo Cheng, Samira Shaikh","doi":"10.1109/ASONAM55673.2022.10068669","DOIUrl":"https://doi.org/10.1109/ASONAM55673.2022.10068669","url":null,"abstract":"Governments around the world are embracing social networks to promote their agendas, and China is no exception. Although Twitter is blocked in China, many diplomats own Twitter accounts and actively post content. Particularly, Zhao Lijian (China's Ministry of Foreign Affairs Spokesperson) is prolific on Twitter as well as its Chinese counterpart, Weibo. This paper examines the entities mentioned in and the sentiment of Zhao's posts, delivered or not delivered to people within China, to study the similarity and differences between his use of Weibo and Twitter. This paper also compares the users' engagement with Zhao on both platforms, exploring the possible factors influencing users' engagement on both platforms.","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130842927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FAB 2022 Symposium Organizing Committee FAB 2022研讨会组委会
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/asonam.2016.7752194
{"title":"FAB 2022 Symposium Organizing Committee","authors":"","doi":"10.1109/asonam.2016.7752194","DOIUrl":"https://doi.org/10.1109/asonam.2016.7752194","url":null,"abstract":"","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132963796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ASONAM 2022 Organizing Committee ASONAM 2022组委会
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2022-11-10 DOI: 10.1109/asonam55673.2022.10068689
{"title":"ASONAM 2022 Organizing Committee","authors":"","doi":"10.1109/asonam55673.2022.10068689","DOIUrl":"https://doi.org/10.1109/asonam55673.2022.10068689","url":null,"abstract":"","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130053806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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